A heuristic model for the sequence-dependent lot scheduling problem

This paper presents a heuristic algorithm for finding a good solution for the sequence-dependent lot scheduling problem. Unlike available methods, the algorithm eliminates the need for creating new artificial problems and implementing feasibility tests. It also eliminates the tedious task of translating setup relationships into a mathematical programming formulation. The result is a conceptually simple solution technique that is practically motivated and easily implemented for use on the shop floor. Comparison of algorithm performance with published results demonstrates the efficacy of the approach.     

Use of satellite data in agricultural surveys

A major application of satellite remote sensing is the estimation of the acreage of agricultural crops. The potential for crop yield estimation using satellite remote sensing exists, but research in this area is still in its early stages. In this paper we survey the methodology for using remotely sensed data in agricultural surveys, based primarily on research conducted during the Large Area Crop Inventory Experiment (LACIE) and the follow-on program Agricultural Research and Inventory Surveys Through Aerospace Remote Sensing (AgRISTARS). The data obtained from multispectral scanner (MSS) and thematic mapper (TM) sensors onboard the Landsat series of satellites are described. Approaches for preprocessing, transferring, and modeling these data for understanding the relationship between their temporal behavior and crop growth cycles are discussed. Finally, techniques for crop identification and area and yield estimation are briefly described     

"Walking the Walk" of Public Service Motivation: Public Employees and Charitable Gifts of Time, Blood, and Money

Research generally indicates that public employees "talk thetalk," but do they also "walk the walk" of the public servicemotive (PSM)? Are public service employees more likely thanothers to engage in public service activities? The behavioralimplications of PSM are addressed by studying the involvementin charitable activities of public, nonprofit, and private workers.Using data from the 2002 General Social Survey, multivariatelogistic regression models are estimated to examine self-reportedgifts of time, blood, and money to charitable organizations.It is found that government employees are more likely to volunteerfor charity and to donate blood than for-profit employees are.Additionally, nonprofit workers are also more likely than theirfor-profit counterparts to volunteer. However, no differenceis found among public service and private employees in termsof individual philanthropy. These findings generally lend supportfor the hypothesis that PSM is more prominent in public servicethan in private organizations, especially as it pertains togovernment personnel.     

On population‐based measures of agreement for binary classifications

The authors describe a model‐based kappa statistic for binary classifications which is interpretable in the same manner as Scott's pi and Cohen's kappa, yet does not suffer from the same flaws. They compare this statistic with the data‐driven and population‐based forms of Scott's pi in a population‐based setting where many raters and subjects are involved, and inference regarding the underlying diagnostic procedure is of interest. The authors show that Cohen's kappa and Scott's pi seriously underestimate agreement between experts classifying subjects for a rare disease; in contrast, the new statistic is robust to changes in prevalence. The performance of the three statistics is illustrated with simulations and prostate cancer data.     

Fast food and unnatural experiments: Another perspective on the New Jersey minimum wage

Conclusion  We have argued that the difference-in-differences method of examining the effects of the New Jersey minimum wage, especially when the differences in differences are measured shortly after the change, is questionable. That being the case, if we nonetheless take this method seriously, and if following Card and Krueger we look at the data shortly before and after the New Jersey minimum was imposed, then the only statistically significant evidence we can find supports the conclusion that the New Jersey minimum reduced employment of young workers.